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kokai-subsidy-fit-promptlisted

Use the kokai MCP server's `kokai_subsidy_fit_jp` prompt to prepare a 3-axis fit signal (regional / industry / scale) for a Japanese company x subsidy pair.
Kokai-Data/japan-business-intelligence · ★ 1 · AI & Automation · score 70
Install: claude install-skill Kokai-Data/japan-business-intelligence
## When to use Use this skill when: - The user has a target Japanese company AND a target J-Grants subsidy. - You want a structured fit signal (NOT eligibility judgment) on whether the subsidy may fit the company. ## How to invoke Request the kokai MCP server's `kokai_subsidy_fit_jp` prompt: ```json { "name": "kokai_subsidy_fit_jp", "arguments": { "corporate_number": "<13-digit 法人番号>", "subsidy_id": "<J-Grants subsidy ID>" } } ``` The prompt returns thinking instructions + embedded resources + 3-axis fit analysis framework. ## Output format Present the 3-axis fit signal: 1. **Regional fit**: Does the subsidy's target_area_search include the company's prefecture? 2. **Industry fit**: Does the subsidy's industry tag align with the company's industry? 3. **Scale fit**: Does the company's employee count / capital fit the subsidy's target_number_of_employees range? For each axis, output `fit` / `partial fit` / `no fit` / `insufficient data` with cited reasoning. ## Boundary (critical) - Output is **signal / 確認材料 / context — NOT eligibility judgment**. - Final 適格性 / 申請可否 verification requires a certified Japanese 士業 (行政書士 / 中小企業診断士). - The kokai MCP server's `prepare_subsidy_eligibility_context` tool (gated beta, x-kokai-beta-client-id header required) is **NOT** called by this skill in default workflow. It is referenced only in advanced / beta appendices.